15 citations · 22 across the 5 of their papers we have counts for
5 papers
Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning
Buo-Fu Chen, Boyo Chen, Chun-Min Hsiao +3
Anthropogenic influences have been linked to tropical cyclone (TC) poleward migration, TC extreme precipitation, and an increased proportion of major hurricanes [1, 2, 3, 4]. Under…
Accurate and Clear Precipitation Nowcasting with Consecutive Attention and Rain-map Discrimination
Ashesh, Buo-Fu Chen, Treng-Shi Huang +3
Precipitation nowcasting is an important task for weather forecasting. Many recent works aim to predict the high rainfall events more accurately with the help of deep learning tech…
CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis
Boyo Chen, Buo-Fu Chen, Chun-Min Hsiao
Convolutional neural networks (CNN) have achieved great success in analyzing tropical cyclones (TC) with satellite images in several tasks, such as TC intensity estimation. In cont…
Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data
Boyo Chen, Buo-Fu Chen, Yun-Nung Chen
Analyzing big geophysical observational data collected by multiple advanced sensors on various satellite platforms promotes our understanding of the geophysical system. For instanc…
Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-based Deep Models
Ching-Yuan Bai, Buo-Fu Chen, Hsuan-Tien Lin
Rapid intensification (RI) of tropical cyclones often causes major destruction to human civilization due to short response time. It is an important yet challenging task to accurate…